Monitor service-level commitments across customers, contracts, and teams — with full traceability to source data and performance evidence.
Aggregate SLA terms from contracts, link them to live operational data, and automatically track adherence, breaches, and corrective actions — all supported by auditable evidence.
Increased Cost Saving
Faster Processing Time
Accuracy
Peak Volume Handling
SLA Compliance Intelligence Agent provides a unified compliance layer that connects contractual commitments with operational execution. It reads agreements, identifies service-level parameters, and continuously maps them against live performance data from CRM, service desk, or ERP systems. Each SLA metric — response time, uptime, resolution window — is verified against its source dataset and contract clause. Breaches automatically trigger exception workflows for review and remediation. Dashboards provide aggregated visibility into adherence rates, recurring gaps, and customer-level trends. The result is a traceable, data-backed framework for demonstrating SLA compliance and improving service reliability.
SLA Compliance Intelligence Agent provides a unified compliance layer that connects contractual commitments with operational execution. It reads agreements, identifies service-level parameters, and continuously maps them against live performance data from CRM, service desk, or ERP systems. Each SLA metric — response time, uptime, resolution window — is verified against its source dataset and contract clause.
Breaches automatically trigger exception workflows for review and remediation. Dashboards provide aggregated visibility into adherence rates, recurring gaps, and customer-level trends. The result is a traceable, data-backed framework for demonstrating SLA compliance and improving service reliability.
Watch how SLA terms are extracted from contracts, tracked against real-time performance data, and visualized through dashboards — ensuring every commitment is met and every breach documented.
Set up AI capabilities quickly using intuitive, low-code tools.
Deploy AI systems seamlessly and scale them efficiently.
Track performance metrics and continuously refine operations.
Integrate feedback loops to adapt and improve your solutions.
